Here we are sharing our code, tutorials and examples used to interpret geological structures (e.g. faults, salt bodies and horizones) in 2-D and/or 3-D seismic reflection data using deep learning. The ...
A newly discovered underwater volcanic eruption north of Papua New Guinea is unfolding in one of the world's most poorly mapped ocean basins. Satellites have spotted steam plumes, ash, thermal ...
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...
Geoscientists at the University of Glasgow have helped reveal new evidence about the formation of one of the highest ...
A new Southwest Research Institute-led study compared eight AI-generated lunar crater catalogs, discovering that many of ...
The spread of the ocean floor, as tectonic plates spread apart, is known but hard to observe. Scientists have now documented ...
The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...
Morning Overview on MSN
AI combed old sensor data and found 86,000 hidden earthquakes under Yellowstone
A deep-learning algorithm applied to 15 years of seismic recordings beneath Yellowstone has identified 86,276 earthquakes ...
Jayasankar from the University of South Florida creates advanced climate simulations to project future extreme rainfall and ...
The fluvial geomorphology field has long investigated the interplay between climate, hydrology, and sediment transport in river systems. Recent studies ...
ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
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